How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="claudios/GPT-C")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("claudios/GPT-C")
model = AutoModelForCausalLM.from_pretrained("claudios/GPT-C")
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IntelliCode Compose: Code Generation Using Transformer

This is an unofficial reupload of GPT-C in the SafeTensors format using transformers 4.40.1. The goal of this reupload is to prevent older models that are still relevant baselines from becoming stale as a result of changes in HuggingFace. Additionally, I may include minor corrections, such as model max length configuration.

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44.8M params
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F32
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